Skip to main content
Glama
76,532 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Using Google Scholar for Conducting Deep and Critical Literature Reviews" matching MCP servers:

  • Literature Manager MCP

    Amruth22
    A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server for organizing research papers, books, and digital sources by tracking reading progress and taking structured notes. It enables AI assistants to manage literature databases and link sources to specific concepts within a knowledge base.
    1
    MIT

  • iroha for Notion

    iroha924
    A
    license
    Not graded
    quality
    A
    maintenance
    Persists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.
    MIT

  • scholar-mcp

    unlomtrois
    F
    license
    Not graded
    quality
    D
    maintenance
    MCP server for local semantic retrieval over a library of ebooks, using pplx-embed-context-v1 embeddings stored in Qdrant, enabling an LLM agent like Gemma 4 to search and retrieve relevant passages for answering questions.

  • Deep Impact Mapper

    HiroakiKatoh
    F
    license
    A
    quality
    C
    maintenance
    Enables users to visualize the impact of edits in internal documents and emails by structuring content as a graph and tracing dependency chains.
    3

  • Google Ads MCP Server

    bradenpan
    A
    license
    Not graded
    quality
    Not graded
    maintenance
    Enables comprehensive management of Google Ads accounts by allowing users to create campaigns, manage keywords, and generate performance reports through a context-aware interface. It features a three-layer architecture that integrates product knowledge and historical campaign data to support intelligent decision-making.

  • Lore Agent

    zfy465914233
    A
    license
    A
    quality
    A
    maintenance
    A self-improving knowledge agent that provides local retrieval, web research, and structured answer synthesis for Claude Code and VS Code Copilot via MCP. It enables AI tools to manage a project-specific knowledge lifecycle through automated research and indexing.
    12
    9
    MIT

  • TheWeave: Memory for AI agents

    TheWeaveSC
    A
    license
    Not graded
    quality
    A
    maintenance
    TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.
    2
    Apache 2.0

  • GBrain for BOS

    cynthiajones34
    A
    license
    Not graded
    quality
    B
    maintenance
    This MCP server provides a cost-optimized personal-knowledge brain, enabling AI agents to query imported documents via hybrid search and synthesis at minimal monthly spend.
    410
    MIT

  • Prior — Knowledge Exchange for

    cg3inc
    A
    license
    A
    quality
    C
    maintenance
    Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
    5
    124
    3
    Functional Source , Version 1.1, ALv2 Future

  • Obsidian Second Brain MCP

    dhaseeb-proj
    A
    license
    A
    quality
    C
    maintenance
    Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.
    6
    MIT

  • Elasticsearch Knowledge Graph

    j3k0
    A
    license
    B
    quality
    D
    maintenance
    Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.
    20
    11
    20
    MIT